Recognizing unstructured EMR: Recognizing the Electronic Medical Record Data from Unstructured Medical Data Using Visual Text Mining Techniques

By Fahad Al Sheref

Computer systems and communication technologies made a strong and influential presence in the different fields of medicine. The cornerstone of a functional medical information system is the Electronic Health Records (EHR) management system. EHR implementation and adoption face different barriers that slow down its deployment in different organizations. This research focuses on resolving the most public barriers, which are data entry, unstructured clinical data modifying the physician work flow. This research proposed a solution, which use Text mining and Natural language processing techniques. This solution tested and verified in four real-world clinical organizations. The suggested solution proved correcteness and perciseness with 91.88%.

• Format: Paperback
• Language: English
• ISBN: 6202511834
• ISBN13: 9786202511834
• Release Date: March 2020
• Publisher: LAP Lambert Academic Publishing
• Length: 128 Pages
• Weight: 0.44 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"